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approaches to data analysis. We welcome applicants working across a variety of approaches, particularly computational and Bayesian, and with a range of data, including text, survey, and panel data. In
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
introduces students to the genetic variation between and within populations. The topics include evolutionary forces, quantitative genetics, and Bayesian statistics as it applies to forensic biology.[24L/12S
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/Experience areas include: Algorithm development and analysis spanning object detection, classification, localization and tracking, data fusion and/or autonomous decision-making. Strong written, oral, and
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and climate adaptation worldwide. Your research will develop and apply novel Bayesian machine learning methods – in particular physics-informed Gaussian processes and/or neural operators– to build
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(including Bayesian, frequentist, data mining, artificial intelligence, and machine learning), and design, develop, and validate predictive statistical models, specifically for student enrollment management
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familiarity with SLT is not required. We're looking for mathematical maturity (PhD or equivalent) with backgrounds like algebraic geometry, Bayesian statistics, statistical physics, information theory
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neural networks, covering representation, optimisation, generalisation, robustness and reliability, while remaining sufficiently tractable to inform engineering practice. A key objective is to transform
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 18 days ago
analytical skills (Frequentist and Bayesian statistical frameworks) Experience in collecting and/or analyzing observational data on animal behavior, including ‘focal and party follow’ studies, as well as ‘ad
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: Physics-informed neural networks (PINNs) & surrogate modelling Time-series modelling & anomaly detection Bayesian methods & uncertainty quantification LLMs & multi-modal models Graph neural networks (GNNs
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in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale! Overview The Department of Chronic Disease Epidemiology at The School of Public